class_docstr: Wrapper around tensorflow optimizer.
class_docstr_tok: ["Wrapper","around","tensorflow","optimizer","."]
code: def set_partitioned_training(self, value=True):
      self.is_partitioned_training = value
  
file_path: AmpliGraph/ampligraph/latent_features/optimizers.py
imports: import abc
  import logging
  import six
  import tensorflow
label_desc: Use image node_id 3 for calling the OptimizerWrapper obj's underlying member method code with example usage: obj.set_partitioned_training(value) without return types